STREAM: A technology planning and capacity expansion model for the industrial sector

The Strategic Technology Roadmapping and Energy, Environmental, and Economic Analysis Model— STREAM —is an optimization-based modeling tool and analysis framework to assist with strategic planning and technology investments of the industrial sector. This open-source framework is written in Julia using the JuMP package, which enables users to model future “pathways” for incumbent and future production technologies, costs, fuels and energy carriers, and energy and non-energy environmental impacts from industries as they transform in pursuit of a robust and competitive manufacturing sector. The model starts with an initial stock of industrial production technologies and assets at a facility level and then determines pathways that minimize cost, subject to an array of possible constraints on demand, market shares, environmental flows, and other exogenously specified operational considerations such as capacity utilization rates or regional energy costs. Key features of the framework include flexibility to model a wide range of industries and industrial technologies/processes at varying levels of granularity, ability to perform parametric sensitivity analyses, and ability to visualize model results using visualization objects.

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Publication Details

Journal
SoftwareX
Published
2025-10-04
DOI
https://doi.org/10.1016/j.softx.2025.102355
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

STREAM: A technology planning and capacity expansion model for the industrial sector

Jeffrey A. Bennett, Joe Cresko, Sarang D. Supekar, David Thierry
SoftwareX
Process Optimization and Integration
article

STREAM: A technology planning and capacity expansion model for the industrial sector

Jeffrey A. Bennett, Joe Cresko, Sarang D. Supekar, David Thierry
article en

Abstract

The Strategic Technology Roadmapping and Energy, Environmental, and Economic Analysis Model— STREAM —is an optimization-based modeling tool and analysis framework to assist with strategic planning and technology investments of the industrial sector. This open-source framework is written in Julia using the JuMP package, which enables users to model future “pathways” for incumbent and future production technologies, costs, fuels and energy carriers, and energy and non-energy environmental impacts from industries as they transform in pursuit of a robust and competitive manufacturing sector. The model starts with an initial stock of industrial production technologies and assets at a facility level and then determines pathways that minimize cost, subject to an array of possible constraints on demand, market shares, environmental flows, and other exogenously specified operational considerations such as capacity utilization rates or regional energy costs. Key features of the framework include flexibility to model a wide range of industries and industrial technologies/processes at varying levels of granularity, ability to perform parametric sensitivity analyses, and ability to visualize model results using visualization objects.

SoftwareXVol. 32
Argonne National Laboratory (US), Vehicle Technologies Office (US)
Openalex Percentile: Top 66%
Process Optimization and Integration
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